NYU Stern
Share / Print

Doctoral Program in Operations Management

 


Overview of the OM Doctoral Program

Mission
To educate and train scholars who will produce first-rate OM research and who will succeed as faculty members in first-rate universities. Our areas of study include optimization, stochastic modelling, and operations management applications.

Admissions and performance
We enroll an average of two or three students each year out of more than 100 highly qualified applicants. Students enrolling typically have GMATS over 700 or GREs over 1400. International students typically have TOEFLs higher than 600. Our students are highly competitive within Stern and nationally, and present talks and invited presentations at national and international conferences.

Advising and evaluation
The OM doctoral program faculty director advises all first-year doctoral students. During the first year students have many opportunities to get to know the research interests of all departmental faculty.  By the beginning of the second year, students have selected a concentration advisor who will guide them through the comprehensive exam process and up to the thesis stage. By the middle of the third year students will have selected a thesis advisor. Each year every student submits a statement of intellectual progress to his/her advisor. All faculty meet to review the progress of all students in a day-long meeting each year. At this time, the student's intellectual progress is reviewed and plans for the following year are considered.  The results of this review include a formal letter to the student assessing the previous year's work and offering guidance for the following year's work.  All students take a comprehensive written and oral exam at the end of the second year.  Students defend their thesis proposal by March of their fourth year and defend their completed dissertation at the end of the fourth year or during the fifth year.

Research and interaction with faculty
Stern's operations management (OM) group has historically included faculty from two disciplines: operations research, and management and organizational behavior. These two disciplines, along with economics and information systems, continue to have a significant influence on the teaching and research directions of the operations management faculty. In today's business environment, there is a strong interest in combining strategy and industry structure with operations to yield a competitive advantage to organizations.

Doctoral students in OM take courses in optimization theory, stochastic processes, probability models, inventory theory, planning and scheduling theory, as well as game theory and economics. Based on the department's philosophy that developing a familiarity with an application industry is essential to long-term success, students are encouraged either to assist faculty members who are actively working with industrial organizations or develop first-hand expertise through individual contacts with firms.

The faculty members focus their research on current and emerging themes in managing operations in today's economy. They use a combination of analytical, empirical and theory building methodologies to understand: how to design operating systems, contracts and quality systems for the management of decentralized supply chains; best practices in retailing; vehicle routing; call center management; task and workforce scheduling; Internet business models and strategies; and how to forecast new product sales.

Faculty members hold editorial positions on numerous journals and are active in the major societies such as the Institute for Operations Research and Management Science. As a result of Stern's New York City location, the school and its OM faculty have strong ties with the world's financial organizations and chemical, computer, consumer goods and pharmaceutical companies in the tri-state area.

Click on the links on the right to learn how to apply, to attend an information session, and to contact the Stern School Doctoral Office.

Jiawei Zhang
Coordinator, Operations Management Doctoral Program
IOMS Department

Back-to-Top


Program Requirements

Doctoral students in OM are expected to achieve expertise primarily in the area of Operations Research and Management. In addition, students will take courses focusing on statistics, economics and mathematics.  These courses already exist.  Based on the OM department’s philosophy that developing a familiarity with an application industry is essential to long-term success, PhD students are encouraged either to assist faculty members who are actively working with industrial organizations or develop first-hand experience through individual contact with firms.

Students may take up to a total of 60 credits as follows:

Note: Substitutions are allowed, when appropriate, with the permission of PhD coordinator.

  • 7 basic courses in OM and related areas (21 credits):
    Linear and Integer Programming
    Combinatorial Optimization and Applications
    Dynamic Programming
    Queuing Theory
    Stochastic Processes
    Microeconomic Theory
    Statistical Inference and Regression Analysis
  • 5 advanced courses in OM (15 credits):
    Supply Chain Management I
    Supply Chain Management II
    Stochastic Modeling
    Scheduling Theory
    Stochastic Control to Revenue Management
  • At least 4 elective courses from the following (12+ credits):
    Real Variables I
    Real Variables II
    Probability Limit Theorems I
    Probability Limit Theorems II
    Numerical Methods I
    Numerical Methods II
    Regression and Multivariate Analysis
    Times Series Analysis
    Forecasting Time Series Data
    Econometrics I
    Econometrics II
    Industrial Organization
    Quantitative Applications in Marketing I
    Special Research Topics in Marketing
    Microeconomic Theory II
    Game Theory I
    Game Theory II
    Nonlinear Optimization
  • 5 research practica (5 credits) and 1 teaching practicum (1 credit)

In addition to required course work, doctoral students participate in research projects led by faculty members, attend research seminars, present seminars concerning their own research, and write and attempt to publish research studies.

By fall of the third year, doctoral students are required to take and pass the department’s comprehensive examination. Doctoral students who complete their coursework and pass the comprehensive exam may apply for the M.Phil degree.

The doctoral program concludes with the proposal, writing and defense of a dissertation.

Students are required to complete the doctoral program within six years (most students will graduate in 4-5 years).

Back-to-Top


Operations Management Program of Study

I.  Minimum Sequence of Courses:

 
Year/Semester Courses per semester
Year 1: Fall 3 basic courses
1 advanced OM course
Year 1: Spring 2 basic courses
1 advanced OM course
1 elective course
Year 2: Fall 2 basic courses
1 advanced OM course
1 elective course
Year 2: Spring 1 advanced OM courses
2 elective courses

 

 










II. Courses:

Upon recommendation of OM PhD Coordinator:

Background courses/Prerequisites
Course title Offered by
Introduction to Mathematical Analysis I & II Courant Institute
Linear Algebra Courant Institute
Computer Programming Skills (CPAC) Courant Institute







Required Basic Courses
Course title Offered by
Linear & Integer Programming OM Group, IOMS Stern
Combinatorial Optimization and Applications and
Convex Optimization
OM Group, IOMS Stern
Dynamic Programming OM Group, IOMS Stern
Queueing Theory OM Group, IOMS Stern
Stochastic Processes Courant Institute
OM Group, IOMS Stern
Microeconomic Theory Economics Department, GSAS
Statistical Inference and Regression Analysis Statistics Group, IOMS Stern

















Required Advanced Courses
Course title Offered by
Real Variables I OM Group, IOMS Stern
Supply Chain Management II OM Group, IOMS Stern
Stochastic Modeling OM Group, IOMS Stern
Stochastic Theory OM Group, IOMS Stern
Stochastic Control to Revenue Management OM Group, IOMS Stern
Based on requirements, advanced courses may also
cover the following topics:
  • Production Scheduling
  • Distribution Logistics
  • Simulation
  • Service Operations Management
  • Auction Theory
OM Group, IOMS Stern













III.  Suggested Elective Courses from Other Departments

Course title Offered by
Real Variables I
Real Variables II
Probability Limits Theorems I
Probability Limits Theorems II
Numerical Methods I
Numerical Methods II
Courant Institute
Regression & Multivariate Analysis
Time Series Analysis
Forecasting Time Series Data
Statistics Group, IOMS Stern
Econometrics I
Econometrics II
Industrial Organization
Economics Department, Stern
Quantitative Applications in Marketing I
Special Research Topics in Marketing
Marketing Department, Stern
Microeconomic Theory II
Game Theory I
Game Theory II
Economics Department, GSAS
Nonlinear Optimization Courant Institute



































Notes:

Students are encouraged to take electives to support their research perspective.  Samples of electives of three perspectives are shown below. Others are possible:
Management Science: Probability Limit Theorems I, II; Numerical Methods I, II; Nonlinear Optimization
Empirical Modeling: Econometrics I, II; Regression & Multivariate Analysis; Time Series Analysis
Strategic Management: Organization and  Strategy, Industrial Organizations, Advanced Strategy







Basic courses or advanced OM courses may be waived only with the permission of the PhD coordinator.

Comprehensive Examinations will be given once per year and include a written and an oral exam. The examinations are constructed by a common group of faculty and are based on the basic and advanced coursework.

Back-to-Top


Doctoral Courses

  • OPMG-GB.3321 (B60.3321) Introduction to Stochastic Processes
  • OPMG-GB.4303 (B60.4303) Stochastic Service Systems
  • OPMG-GB.4304 (B60.4304) Special Topics: Supply Chain Management
  • OPMG-GB.4305 (B60.4305) Advanced Topics in Optimization
  • OPMG-GB.4306 (B60.4306) Dynamic Programming and Stochastic Controls
  • OPMG-GB.4308 (B60.4308) Applications of Stochastic Control to Revenue Management
  • OPMG-GB.4309 (B60.4309) Advanced Stochastic Modelling I
  • OPMG-GB.4311 (B60.4311) Advanced Stochastic Modelling II
  • OPMG-GB.4314 (B60.4314) Revenue Management and Pricing
  • OPMG-GB.4315 (B60.4315) Combinatorial Optimization and Applications
  • OPMG-GB.4316 (B60.4316) Queuing Networks: Theory Applications
  • OPMG-GB.4317 (B60.4317) Stochastic Inventory Theory
  • OPMG-GB.4318 (B60.4318) Advanced Topics in Optimization II
  • OPMG-GB.4319 (B60.4319) Stochastic Simulation
  • OPMG-GB.4326 (B60.4326) Computational Mathematics and Large Scale Dynamic Programming
  • OPMG-GB.4340 (B60.4340) Game Theory in Operations

Back-to-Top


PhD Xing 170x252

Questions about the PhD Program in Operations Management?

Contact: Jiawei Zhang
OM Program Coordinator
jzhang@stern.nyu.edu

Explore Stern PhD